Demo Data from SIGIR 2026 / reviewers in the wild / expert
Aurea Edna Moreno-Mojica
dblp:190/5406
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-3352-3225ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 61% Integrated circuit design · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation › physical design › power delivery network design
decoupling capacitor optimization |
0.6 | 1 | 2022 | Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Integrated circuit design
power delivery network |
0.6 | 1 | 2022 | Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Electronic design automation › design for manufacturability › design for yield
yield enhancement |
0.6 | 1 | 2022 | Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Integrated circuit design › power delivery network
voltage regulator |
0.2 | 1 | 2022 | Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor Tolerances · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2022 |
Methods — techniques the papers use, named apart from their topics
yield estimation · 0.6statistical analysis · 0.6frequency-domain and time-domain optimization · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Frequency- and Time-Domain Yield Optimization of a Power Delivery Network Subject to Large Decoupling Capacitor TolerancesabstractSuboptimal design of power delivery networks (PDNs) may cause performance deterioration and severe functional failures on high-speed computer platforms. Voltage regulators (VRs) distribute controlled voltage in the PDN to the active devices, providing a steady power supply at a desired DC voltage level with an acceptable noise level or ripple. Unacceptable voltage drops can be caused by transient switching currents at the devices. Many decoupling capacitors are commonly used to lower the PDN impedance profile in order to reduce power supply noise and to supply fast transient current to switching devices. However, commercially available decoupling capacitors typically present large manufacturing variability. In this article, we first propose an optimization methodology that gradually finds the best compensation parameter values of a buck converter VR to meet suitable stability criteria. Simultaneously, the number of parallel decoupling capacitors in the PDN is minimized while meeting a frequency-domain impedance profile specification and a time-domain minimum voltage droop requirement under nominal parameter values. Finally, a statistical analysis, yield estimation, and yield optimization of the nominally optimized PDN subject to large decoupling capacitor tolerances is presented. We consider the impedance profile, transient voltage droop, and VR stability as the responses of interest for yield calculation. Aurea Edna Moreno-Mojica, José Ernesto Rayas-Sánchez |
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. | 1 |